Abstract: A system and a method are disclosed for a platform that predicts performance metrics for a person of interest (POI) in real-time and over an extended time period. The platform extracts attributes of the POI, attributes of a team corresponding to the POI, and inherent properties of an event corresponding to the POI. The platform generates a live component vector comprising the extracted attributes and inherent properties and inputs the live component vector to a first machine learning model to determine a live metric characterizing the performance of the POI during a current event. The platform generates a career component vector by updating the live component vector with one or more live metrics determined by the first machine learning model. The platform inputs the career component vector to a second machine learning model to determine a career metric characterizing the long-term performance of the POI during an extended time period.
Type:
Grant
Filed:
April 6, 2022
Date of Patent:
July 7, 2026
Assignee:
Mojo Interactive, Inc.
Inventors:
Michael Gallo, Julie Helmers, Kevin Whitaker, Elizabeth Pemberton